Hands-On Amazon Redshift for Data Warehousing
Build scalable, serverless data warehouses with machine learning and massively parallel processing in the cloud with Amazon Redshift About This Video Kick traditional data warehouse technologies into touch with a combination of cloud hosting and cutting-edge optimization algorithms Go from data ware...
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| Idioma: | Inglés |
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Packt Publishing
2019.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630550606719 |
| Sumario: | Build scalable, serverless data warehouses with machine learning and massively parallel processing in the cloud with Amazon Redshift About This Video Kick traditional data warehouse technologies into touch with a combination of cloud hosting and cutting-edge optimization algorithms Go from data warehouse fundamentals to a fully functioning peta-scale data warehouse in just 3 hours, and learn everything you need to build your own cloud data warehouse Learn the do's and don'ts of data warehousing with this simple hands-on guide to building data warehouses on AWS In Detail Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high-performance, column-oriented SQL engine. Amazon Redshift brings the power of scale-out architecture to the world of traditional data warehousing. In this course, you will explore this low-cost, cloud-based storage, which can be scaled up or down to meet your true size and performance needs. You will learn to configure a sample data warehouse. Next, you will explore Redshift's internal workings and architecture, and learn what makes it so fast. You will get hands-on experience connecting, querying, and building BI and data viz products and learn how to secure, maintain, and administer your new platform. By the end of this course, you will be able to scale from gigabytes to petabytes on this high-performance, column-oriented SQL engine. |
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| Notas: | Title from resource description page (Safari, viewed March 27, 2019). Presenter's name from title screen. |
| Descripción Física: | 1 online resource (1 video file, approximately 2 hr., 14 min.) |
